Master of Science in Analytics

University of Chicago

Address : 5807 S Woodlawn Ave, Chicago, IL 60637, USA , Illinois
  • E-mail :
  • Phone : 001 - 7737021234
  • Type : Private

Master of Science in Analytics

Important Information

  • Per Year Tuition FeesPer Year Tuition Fees
    50,700 USD / Year or / Total
  • DurationDuration
    1 Year  Master / Specialized Master  (Full Time)
  • Exams accepted & cut-offExams accepted & cut-off
    IELTS 7/9 | TOEFL 104/120
  • EligibilityEligibility

    Applicants must hold a bachelor’s Degree.

  • Admission ProcedureAdmission Procedure

    Prepare documents for application


    • Three letters of recommendation from individuals who can assess applicant's academic or professional qualifications are required


    • Resume or CV is required

    Additional documents required

    • Transcripts
    • Proof of English language proficiency

     Start your online application

Infrastructure / Teaching Facilities

  • Auditorium
  • Cafeteria
  • Classrooms
  • Laboratory
  • Library
  • Parking
  • Playground
  • Security and Safety
    Security and Safety
  • Sports
  • Sports Facilities
    Sports Facilities
  • Wi-Fi

Why Join University of Chicago?

  • University is honored to have won the 2013 Webby Award and People’s Voice Award in the School/University category
  • International students comprise 15% of the University community and come from over 100 countries outside of the U.S
  • Produced 89 Nobel Prize winners of whom 8 are its current faculty
  • Faculty members are recipients of the Presidential Medal of Freedom as well as the National Medal of Science
  • Has excellent student-faculty ratio of 7:1

About Master of Science in Analytics

  • The University of Chicago’s Graham School of Continuing Liberal and Professional Studies offers a one and a half year to two years postgraduate degree in Analytics which provides students with advanced analytical training to develop their ability to draw insights from big data
  • Students integrate business strategy with project-based learning, simulations and case studies
  • Graduates are provided opportunity to work on applied projects and data sets

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